Deutsche Boerse Ag Stock Price on April 5, 2024
| DBOEY Stock | USD 19.59 0.39 2.03% |
If you're considering investing in Deutsche Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Deutsche Boerse stands at 19.59, as last reported on the 3rd of May, with the highest price reaching 19.61 and the lowest price hitting 19.41 during the day. Deutsche Boerse AG secures Sharpe Ratio (or Efficiency) of -0.0209, which denotes the company had a -0.0209% return per unit of risk over the last 3 months. Deutsche Boerse AG exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Deutsche Boerse's Variance of 1.17, standard deviation of 1.08, and Mean Deviation of 0.6972 to check the risk estimate we provide.
Deutsche Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Deutsche |
Sharpe Ratio = -0.0209
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Estimated Market Risk
| 1.11 actual daily | 9 91% of assets are more volatile |
Expected Return
| -0.02 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.02 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Deutsche Boerse is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Deutsche Boerse by adding Deutsche Boerse to a well-diversified portfolio.
Deutsche Boerse Valuation on April 5, 2024
It is possible to determine the worth of Deutsche Boerse on a given historical date. On April 5, 2024 Deutsche was worth 20.24 at the beginning of the trading date compared to the closed value of 20.24. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Deutsche Boerse pink sheet. Still, in general, we apply an absolute valuation method to find Deutsche Boerse's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Deutsche Boerse where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Deutsche Boerse's related companies.
| Open | High | Low | Close | Volume | |
| 20.22 | 20.22 | 20.22 | 20.22 | 72,327 | |
04/05/2024 | 20.24 | 20.24 | 20.24 | 20.24 | 62,185 |
| 20.38 | 20.38 | 20.38 | 20.38 | 41,522 |
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Deutsche Boerse Trading Date Momentum on April 5, 2024
| On April 08 2024 Deutsche Boerse AG was traded for 20.38 at the closing time. The highest daily price throughout the period was 20.38 and the lowest price was 20.38 . The daily volume was 41.5 K. The net trading volume on 04/08/2024 added to the next day price jump. The overall trading delta to closing price of the next trading day was 0.69% . The overall trading delta to current closing price is 0.79% . |
Deutsche Boerse AG Fundamentals Correlations and Trends
By evaluating Deutsche Boerse's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Deutsche Boerse's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Deutsche financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Deutsche Boerse Pink Sheet history
Deutsche Boerse investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Deutsche is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Deutsche Boerse AG will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Deutsche Boerse stock prices may prove useful in developing a viable investing in Deutsche Boerse
Deutsche Brse AG operates as an exchange organization in Europe, the United States, and the Asia-Pacific. Deutsche Brse AG was founded in 1585 and is headquartered in Eschborn, Germany. DEUTSCHE BOERSE operates under Financial Data Stock Exchanges classification in the United States and is traded on OTC Exchange. It employs 8855 people.
Deutsche Boerse Pink Sheet Technical Analysis
Deutsche Boerse technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
Price Boundaries
Deutsche Boerse Period Price Range
Low | April 5, 2024
| High |
20.24 | 20.24 |
Deutsche Boerse May 3, 2024 Market Strength
Market strength indicators help investors to evaluate how Deutsche Boerse pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deutsche Boerse shares will generate the highest return on investment. By undertsting and applying Deutsche Boerse pink sheet market strength indicators, traders can identify Deutsche Boerse AG entry and exit signals to maximize returns
Deutsche Boerse Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Deutsche Boerse's price direction in advance. Along with the technical and fundamental analysis of Deutsche Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Deutsche to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.08) |
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| Volume Indicators |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Deutsche Boerse AG. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in income. Note that the Deutsche Boerse AG information on this page should be used as a complementary analysis to other Deutsche Boerse's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for Deutsche Pink Sheet analysis
When running Deutsche Boerse's price analysis, check to measure Deutsche Boerse's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Deutsche Boerse is operating at the current time. Most of Deutsche Boerse's value examination focuses on studying past and present price action to predict the probability of Deutsche Boerse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Boerse's price. Additionally, you may evaluate how the addition of Deutsche Boerse to your portfolios can decrease your overall portfolio volatility.
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